Generative AI Leader (GAIL)

Module 1 - Gen AI: Beyond the chatbot

Topics

• Introduction to gen AI for businesses
• Introduction to gen AI foundations
• Gen AI strategy

Objectives

• Discover how generative AI transforms organizations across business functions and industries.
• Explore how generative AI uses foundation models and prompt engineering to create value.
• Identify Google Cloud's unique strengths in the field of generative AI.
• Explain the Google-Cloud-recommended steps to successfully implement a transformational gen AI solution.

Activities

• Discussion: What is your why?
• Discussion: Feeling inspired
• Try it: Hands-on with the Gemini app
• Discussion: Benefits of Google Cloud when building AI solutions
• Try it: Prioritization exercise
• Activity: Augmentation or automation?

Module 2 - Gen AI: Unlock foundational concepts

Topics

• Core gen AI concepts
• Foundation models
• Responsible AI

Objectives

• Define core generative AI concepts.
• Explain how data types are used in generative AI for business solutions, innovation, and competitive edge.
• Explain the role of foundation models in generative AI.
• Describe the Google-Cloud-recommended strategies for handling LLM limitations.
• Describe the challenges and key factors involved in responsibly and securely developing and deploying AI.

Activities

• Activity: Supervised, unsupervised, or reinforcement learning?
• Discussion: Model matchmaker
• Discussion: Organizational roadblocks to responsible AI

Module 3 - Gen AI: Navigate the landscape

Topics

• The gen AI landscape
• Gen AI agents and applications
• Gen AI platform, model, and infrastructure
• Gen AI project resources and management

Objectives

• Describe the layers of the gen AI landscape.
• Determine strategic entry points within the gen AI landscape to address specific business needs and drive innovation.
• Describe the components of the Google Cloud gen AI portfolio.
• Explain how Google Cloud’s AI-optimized resources support gen AI development.
• Describe the business factors to consider when deciding what to use for specific applications.

Activities

• Discussion: Conversational and workflow agents
• Activity: The writing assistant
• Activity: Edge or cloud?
• Activity: Best solution

Module 4 - Gen AI apps: Transform your work

Topics

• Prompting techniques
• Gen AI for productivity
• Gemini for Google Cloud

Objectives

• Explain prompt engineering techniques and how they drive better results.
• Develop automated workflows by using generative AI prompt templates and tools.
• Describe the core functionality and business value of using Gemini for Google Workspace.
• Describe the core functionality and business value of using Gemini for Google Cloud.

Activities

• Discussion: Customer service
• Try it: Step into the role
• Activity: Pick-a-product
• Discussion: Gemini for Google Cloud in your organization

Module 5 - Gen AI agents: Transform your organization

Topics

• Today’s agents
• Building agents
• Enhancing the customer experience with agents

Objectives

• Define the components of generative AI agents and how they work together.
• Explain how you can combine the components of generative AI agents to build powerful solutions.
• Describe how you can use Google Cloud’s gen AI products to create generative AI agents and solutions.
• Explain how to effectively lead and manage organizational transformation with gen AI.

Activities

• Activity: The better prompt technique
• Activity: Agent tooling example – Meeting location planner APIs
• Activity: Pick-a-product